The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-08-14"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "21159730 (up from 20905891 yesterday: 1.21 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "764683 (up from 755589 yesterday: 1.2 % increase)"

Overall Confirmed Cases Count Worldwide in the past 21 Days 

## [1] 5367340

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 3.61



In- Depth Country Wise Stats (With Atleast 10000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 5313055 64201 1.22 1200524 168446 1336 0.80 3.17
Brazil 3226443 1567 0.05 883077 105490 27 0.03 3.27
India 2525922 64732 2.63 1188898 49036 996 2.07 1.94
Russia 910778 5016 0.55 111279 15467 114 0.74 1.70
South Africa 579140 6275 1.10 157144 11556 286 2.54 2.00
Peru 516296 17741 3.56 140335 25856 4143 19.08 5.01
Mexico 511369 5618 1.11 133084 55908 615 1.11 10.93
Colombia 445111 11306 2.61 211570 14492 347 2.45 3.26
Chile 382111 2077 0.55 40807 10340 41 0.40 2.71
Spain 342813 5479 1.62 70392 28617 12 0.04 8.35
Iran 338825 2501 0.74 52302 19331 169 0.88 5.71
United Kingdom 315621 21 0.01 16121 46791 0 0.00 14.83
Saudi Arabia 295902 1383 0.47 33130 3338 35 1.06 1.13
Pakistan 287300 626 0.22 15413 6153 14 0.23 2.14
Argentina 282437 6365 2.31 128917 5527 165 3.08 1.96
Bangladesh 271881 2766 1.03 53223 3591 34 0.96 1.32
Italy 252809 574 0.23 7219 35234 3 0.01 13.94
France 249655 5559 2.28 31858 30410 18 0.06 12.18
Turkey 246861 1226 0.50 22609 5934 22 0.37 2.40
Germany 223791 1510 0.68 18168 9230 13 0.14 4.12
Iraq 168290 4013 2.44 63579 5709 68 1.21 3.39
Philippines 153660 6134 4.16 77216 2442 16 0.66 1.59
Indonesia 135123 2307 1.74 39705 6021 53 0.89 4.46
Canada 123605 425 0.35 8490 9068 5 0.06 7.34
Qatar 114532 251 0.22 5894 190 0 0.00 0.17
Kazakhstan 102287 439 0.43 22061 1269 0 0.00 1.24
Ecuador 99409 1066 1.08 20360 6030 20 0.33 6.07
Bolivia 97950 1491 1.55 31494 3939 55 1.42 4.02
Egypt 96220 112 0.12 5148 5124 17 0.33 5.33
Israel 91080 1258 1.40 31605 665 14 2.15 0.73
Ukraine 89917 1781 2.02 25744 2042 19 0.94 2.27
China 89214 70 0.08 3012 4701 1 0.02 5.27
Dominican Republic 84488 1354 1.63 25411 1409 16 1.15 1.67
Sweden 84294 442 0.53 5297 5783 7 0.12 6.86
Oman 82743 212 0.26 8952 557 6 1.09 0.67
Panama 79402 956 1.22 21409 1734 12 0.70 2.18
Belgium 77113 922 1.21 11914 9924 8 0.08 12.87
Kuwait 75185 699 0.94 12560 494 5 1.02 0.66
Belarus 69308 105 0.15 2462 603 4 0.67 0.87
Romania 68046 1415 2.12 25652 2904 44 1.54 4.27
United Arab Emirates 63819 330 0.52 5570 359 1 0.28 0.56
Netherlands 63127 721 1.16 10290 6189 2 0.03 9.80
Guatemala 61428 1144 1.90 18145 2341 45 1.96 3.81
Singapore 55580 83 0.15 6205 27 0 0.00 0.05
Poland 55319 832 1.53 13281 1858 14 0.76 3.36
Japan 53818 1347 2.57 24935 1080 7 0.65 2.01
Portugal 53783 235 0.44 4091 1772 2 0.11 3.29
Honduras 49467 425 0.87 11908 1548 6 0.39 3.13
Nigeria 48445 329 0.68 8906 973 7 0.72 2.01
Bahrain 46052 326 0.71 7594 168 1 0.60 0.36
Ghana 41847 122 0.29 10790 223 0 0.00 0.53
Kyrgyzstan 41373 304 0.74 10126 1491 4 0.27 3.60
Armenia 41299 276 0.67 4686 814 5 0.62 1.97
Morocco 39241 1306 3.44 20407 611 27 4.62 1.56
Switzerland 37671 268 0.72 3517 1991 0 0.00 5.29
Algeria 37664 477 1.28 11505 1351 10 0.75 3.59
Afghanistan 37431 7 0.02 1450 1363 0 0.00 3.64
Azerbaijan 34018 103 0.30 4706 504 4 0.80 1.48
Uzbekistan 33821 498 1.49 14461 220 4 1.85 0.65
Venezuela 31381 1012 3.33 17118 266 7 2.70 0.85
Moldova 29483 396 1.36 7000 884 6 0.68 3.00
Kenya 29334 580 2.02 13066 465 5 1.09 1.59
Serbia 29233 235 0.81 6381 665 4 0.61 2.27
Ethiopia 27242 1038 3.96 14549 492 13 2.71 1.81
Ireland 26995 66 0.25 1150 1774 0 0.00 6.57
Costa Rica 26931 802 3.07 13262 281 9 3.31 1.04
Nepal 25551 594 2.38 7177 99 4 4.21 0.39
Australia 23035 293 1.29 9085 379 4 1.07 1.65
Austria 22876 282 1.25 2662 725 0 0.00 3.17
El Salvador 22314 321 1.46 8522 595 11 1.88 2.67
Czechia 19693 292 1.51 4612 394 3 0.77 2.00
Cameroon 18469 161 0.88 1761 401 0 0.00 2.17
Cote d’Ivoire 16935 46 0.27 1682 108 1 0.93 0.64
West Bank and Gaza 15834 343 2.21 5741 106 0 0.00 0.67
Denmark 15758 168 1.08 2116 621 0 0.00 3.94
Bosnia and Herzegovina 15535 351 2.31 5768 469 11 2.40 3.02
Korea, South 15039 166 1.12 947 305 0 0.00 2.03
Bulgaria 14243 350 2.52 4120 492 10 2.07 3.45
Madagascar 13643 121 0.89 4902 164 2 1.23 1.20
North Macedonia 12515 158 1.28 2718 535 3 0.56 4.27
Sudan 12162 47 0.39 860 793 1 0.13 6.52
Senegal 11872 132 1.12 2450 249 5 2.05 2.10
Kosovo 11130 335 3.10 4450 381 16 4.38 3.42

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
California 613101 15117 2.53 172916 11148 278 2.56 1.82 15516.74 282.14 1 in 64
Florida 563285 6148 1.10 160973 9141 228 2.56 1.62 26226.46 425.60 1 in 38
Texas 539673 8816 1.66 159309 10078 307 3.14 1.87 18612.06 347.57 1 in 54
New York 424167 727 0.17 13717 32827 22 0.07 7.74 21804.08 1687.45 1 in 46
Georgia 231895 3227 1.41 70475 4573 35 0.77 1.97 21840.99 430.71 1 in 46
Illinois 204023 2296 1.14 34327 7932 27 0.34 3.89 16100.53 625.96 1 in 62
Arizona 191721 927 0.49 35420 4423 40 0.91 2.31 25177.11 580.84 1 in 40
New Jersey 187164 570 0.31 8819 15903 10 0.06 8.50 21071.83 1790.44 1 in 47
North Carolina 142170 1346 0.96 32442 2313 26 1.14 1.63 13555.38 220.54 1 in 74
Louisiana 136737 1298 0.96 33003 4430 28 0.64 3.24 29413.43 952.94 1 in 34
Tennessee 130458 1947 1.52 41380 1326 13 0.99 1.02 19091.86 194.05 1 in 52
Pennsylvania 127732 827 0.65 17440 7434 39 0.53 5.82 9977.51 580.69 1 in 100
Massachusetts 122531 212 0.17 7546 8804 14 0.16 7.19 17631.62 1266.85 1 in 57
Ohio 106557 1131 1.07 24811 3784 29 0.77 3.55 9115.93 323.72 1 in 110
Alabama 106309 752 0.71 30304 1893 3 0.16 1.78 21681.62 386.08 1 in 46
South Carolina 104841 932 0.90 26234 2204 20 0.92 2.10 20362.56 428.07 1 in 49
Virginia 104838 1216 1.17 22474 2370 7 0.30 2.26 12282.56 277.66 1 in 81
Michigan 100724 868 0.87 15652 6566 11 0.17 6.52 10085.66 657.46 1 in 99
Maryland 98875 715 0.73 17109 3631 11 0.30 3.67 16354.65 600.59 1 in 61
Indiana 78632 1067 1.38 18034 3113 8 0.26 3.96 11679.95 462.40 1 in 86
Mississippi 70930 944 1.35 21345 2043 32 1.59 2.88 23832.81 686.46 1 in 42
Washington 66139 800 1.22 15315 1755 19 1.09 2.65 8685.48 230.47 1 in 115
Missouri 65793 1364 2.12 26158 1365 9 0.66 2.07 10719.96 222.41 1 in 93
Wisconsin 64227 1021 1.62 17310 1025 7 0.69 1.60 11030.95 176.04 1 in 91
Minnesota 63723 730 1.16 14235 1739 8 0.46 2.73 11299.14 308.35 1 in 89
Nevada 59749 1099 1.87 18864 1045 15 1.46 1.75 19398.04 339.27 1 in 52
Colorado 52519 319 0.61 9557 1888 6 0.32 3.59 9119.88 327.85 1 in 110
Arkansas 52392 626 1.21 15143 587 5 0.86 1.12 17360.85 194.51 1 in 58
Iowa 51247 874 1.74 9813 970 10 1.04 1.89 16242.75 307.44 1 in 62
Connecticut 50897 115 0.23 2121 4453 3 0.07 8.75 14275.71 1248.99 1 in 70
Oklahoma 46897 794 1.72 17781 644 6 0.94 1.37 11851.74 162.75 1 in 84
Utah 45976 552 1.22 9014 360 7 1.98 0.78 14340.80 112.29 1 in 70
Kentucky 38298 612 1.62 12366 804 8 1.01 2.10 8572.25 179.96 1 in 117
Kansas 33030 546 1.68 8476 404 1 0.25 1.22 11337.60 138.67 1 in 88
Nebraska 29988 328 1.11 5814 361 1 0.28 1.20 15502.42 186.62 1 in 65
Idaho 27171 542 2.04 9906 265 14 5.58 0.98 15161.84 147.87 1 in 66
Puerto Rico 25128 682 2.79 11161 317 11 3.59 1.26 7868.00 99.26 1 in 127
New Mexico 23160 173 0.75 4685 703 6 0.86 3.04 11045.25 335.27 1 in 91
Oregon 22613 313 1.40 6509 385 2 0.52 1.70 5361.41 91.28 1 in 187
Rhode Island 20335 95 0.47 2111 1021 2 0.20 5.02 19195.53 963.79 1 in 52
Delaware 16340 373 2.34 2138 593 0 0.00 3.63 16780.25 608.98 1 in 60
District of Columbia 13118 94 0.72 1469 594 0 0.00 4.53 18587.34 841.66 1 in 54
South Dakota 10024 127 1.28 1824 150 2 1.35 1.50 11330.92 169.56 1 in 88
North Dakota 8322 151 1.85 2708 121 1 0.83 1.45 10920.37 158.78 1 in 92
West Virginia 8277 114 1.40 2624 157 4 2.61 1.90 4631.40 87.85 1 in 216
New Hampshire 6964 43 0.62 589 423 1 0.24 6.07 5121.68 311.10 1 in 195
Montana 5541 134 2.48 2503 81 0 0.00 1.46 5184.43 75.79 1 in 193
Hawaii 4543 231 5.36 2994 40 0 0.00 0.88 3208.62 28.25 1 in 312
Maine 4116 27 0.66 359 126 0 0.00 3.06 3062.02 93.74 1 in 327
Alaska 4073 110 2.78 1824 27 0 0.00 0.66 5567.67 36.91 1 in 180
Wyoming 3183 64 2.05 778 30 0 0.00 0.94 5499.70 51.84 1 in 182
Vermont 1501 17 1.15 116 58 0 0.00 3.86 2405.49 92.95 1 in 416

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestedinPast21Days ConfirmedinPast21Days ConfirmationRateForPast21Days TestsPerMillPopl
1 California 9556598 613101 6.42 2640722 172916 6.55 241864.4
2 Florida 4160565 563285 13.54 883929 160973 18.21 193715.2
3 Texas 4282041 539673 12.60 1050110 159309 15.17 147677.6
4 New York 6901836 424167 6.15 1456991 13717 0.94 354785.2
5 Georgia 1970053 231895 11.77 587609 70475 11.99 185549.1
6 Illinois 3286680 204023 6.21 852915 34327 4.02 259369.2
7 Arizona 1067575 191721 17.96 230758 35420 15.35 140195.7
8 New Jersey 2429841 187164 7.70 542197 8819 1.63 273563.3
9 North Carolina 1877402 142170 7.57 327105 32442 9.92 179003.3
10 Louisiana 1637012 136737 8.35 437286 33003 7.55 352136.9
11 Tennessee 1812043 130458 7.20 489430 41380 8.45 265183.2
12 Pennsylvania 1427689 127732 8.95 322741 17440 5.40 111520.9
13 Massachusetts 1411532 122531 8.68 325280 7546 2.32 203112.6
14 Ohio 1779409 106557 5.99 511781 24811 4.85 152228.1
15 Alabama 824984 106309 12.89 196000 30304 15.46 168254.7
16 South Carolina 851784 104841 12.31 222412 26234 11.80 165436.3
17 Virginia 1320272 104838 7.94 329973 22474 6.81 154679.8
18 Michigan 2261151 100724 4.45 646505 15652 2.42 226412.7
19 Maryland 1110273 98875 8.91 305923 17109 5.59 183647.3
20 Indiana 886489 78632 8.87 207740 18034 8.68 131678.6
21 Mississippi 511042 70930 13.88 99562 21345 21.44 171712.5
22 Washington 1015446 66139 6.51 144683 15315 10.59 133350.0
23 Missouri 824869 65793 7.98 212254 26158 12.32 134399.8
24 Wisconsin 1113294 64227 5.77 267287 17310 6.48 191207.7
25 Minnesota 973546 63723 6.55 50670 14235 28.09 172625.8
26 Nevada 538204 59749 11.10 116333 18864 16.22 174732.7
27 Colorado 837290 52519 6.27 366413 9557 2.61 145394.8
28 Arkansas 588660 52392 8.90 127196 15143 11.91 195061.0
29 Iowa 540237 51247 9.49 98364 9813 9.98 171228.2
30 Connecticut 937690 50897 5.43 224618 2121 0.94 263005.5
31 Oklahoma 743242 46897 6.31 220200 17781 8.07 187831.0
32 Utah 589817 45976 7.79 95746 9014 9.41 183975.3
33 Kentucky 700642 38298 5.47 167166 12366 7.40 156824.8
34 Kansas 343043 33030 9.63 65076 8476 13.02 117750.1
35 Nebraska 314224 29988 9.54 65150 5814 8.92 162439.4
36 Idaho 218221 27171 12.45 58028 9906 17.07 121770.7
38 New Mexico 650491 23160 3.56 153506 4685 3.05 310226.1
39 Oregon 473107 22613 4.78 106540 6509 6.11 112170.8
40 Rhode Island 229865 20335 8.85 39837 2111 5.30 216984.6
41 Delaware 207475 16340 7.88 43149 2138 4.95 213065.0
42 District of Columbia 236305 13118 5.55 71045 1469 2.07 334828.7
43 South Dakota 126014 10024 7.95 22524 1824 8.10 142443.6
44 North Dakota 176603 8322 4.71 33895 2708 7.99 231743.6
45 West Virginia 344700 8277 2.40 91527 2624 2.87 192877.2
46 New Hampshire 181616 6964 3.83 31824 589 1.85 133569.6
47 Montana 199861 5541 2.77 50661 2503 4.94 186999.5
48 Hawaii 153617 4543 2.96 42326 2994 7.07 108496.4
49 Maine 205043 4116 2.01 54423 359 0.66 152537.7
50 Alaska 295929 4073 1.38 95357 1824 1.91 404526.0
51 Wyoming 59992 3183 5.31 11764 778 6.61 103656.3
52 Vermont 107417 1501 1.40 19725 116 0.59 172145.7

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 584754 12020 2.10 408286 69.82 156409 19749 322 1.66 3.38
Tamil Nadu 332105 5860 1.80 272251 81.98 54213 5641 127 2.30 1.70
Andhra Pradesh 281817 8732 3.20 191117 67.82 88138 2562 87 3.52 0.91
Karnataka 219926 8818 4.18 134811 61.30 81274 3832 114 3.07 1.74
Delhi 151928 1276 0.85 136251 89.68 11489 4188 10 0.24 2.76
Uttar Pradesh 150061 4774 3.29 96231 64.13 51437 2393 58 2.48 1.59
West Bengal 113432 3074 2.79 83836 73.91 27219 2377 58 2.50 2.10
Bihar 101906 3536 3.59 68675 67.39 32715 515 15 3.00 0.51
Telangana 90259 1863 2.11 66196 73.34 23379 684 10 1.48 0.76
Gujarat 77663 1094 1.43 60637 78.08 14261 2765 19 0.69 3.56
Assam 75559 1057 1.42 53287 70.52 22087 182 7 4.00 0.24
Rajasthan 59979 1287 2.19 45254 75.45 13863 862 16 1.89 1.44
Odisha 57126 2496 4.57 40727 71.29 16013 386 9 2.39 0.68
Haryana 46410 796 1.75 38939 83.90 6943 528 10 1.93 1.14
Madhya Pradesh 44433 1019 2.35 33353 75.06 9986 1094 13 1.20 2.46
Kerala 42885 1608 3.90 27795 64.81 14895 147 7 5.00 0.34
Punjab 30041 1028 3.54 18863 62.79 10407 771 40 5.47 2.57
Jammu and Kashmir 28021 532 1.94 20676 73.79 6818 527 7 1.35 1.88
Jharkhand 22672 547 2.47 14181 62.55 8262 229 5 2.23 1.01
Chhattisgarh 15045 486 3.34 10046 66.77 4865 134 4 3.08 0.89
Uttarakhand 11940 325 2.80 7748 64.89 3997 151 4 2.72 1.26
Goa 11339 369 3.36 7488 66.04 3753 98 5 5.38 0.86
Puducherry 7354 359 5.13 4224 57.44 3024 106 0 0.00 1.44
Tripura 6949 167 2.46 5088 73.22 1793 50 4 8.70 0.72
Manipur 4390 192 4.57 2438 55.54 1939 13 0 0.00 0.30
Himachal Pradesh 3993 119 3.07 2632 65.92 1307 18 0 0.00 0.45
Nagaland 3340 18 0.54 1321 39.55 2005 7 0 0.00 0.21
Arunachal Pradesh 2658 51 1.96 1771 66.63 882 5 0 0.00 0.19
Andaman and Nicobar Islands 2306 120 5.49 1128 48.92 1154 24 0 0.00 1.04
Chandigarh 2009 81 4.20 1118 55.65 861 28 -1 -3.45 1.39
Ladakh 1909 30 1.60 1307 68.47 593 9 0 0.00 0.47
Dadra and Nagar Haveli and Daman and Diu 1846 64 3.59 1384 74.97 446 2 0 0.00 0.11
Meghalaya 1292 64 5.21 596 46.13 690 6 0 0.00 0.46
Sikkim 1148 68 6.30 661 57.58 486 1 0 0.00 0.09
Mizoram 713 56 8.52 356 49.93 357 0 0 NaN 0.00
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN
State Unassigned 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 1401844 97225 97 0.10 6.94 153 12 5377 16836 17.32
Piemonte 531625 31997 15 0.05 6.02 77 3 874 4139 12.94
Emilia-Romagna 759033 30314 57 0.19 3.99 76 4 1866 4298 14.18
Veneto 1351358 21012 127 0.61 1.55 33 6 1470 2095 9.97
Toscana 463708 10761 26 0.24 2.32 12 3 604 1137 10.57
Liguria 208310 10413 20 0.19 5.00 17 3 272 1569 15.07
Lazio 452336 9001 45 0.50 1.99 192 9 1165 870 9.67
Marche 181370 7019 32 0.46 3.87 10 1 190 987 14.06
Campania 356781 5214 44 0.85 1.46 47 1 487 440 8.44
P.A. Trento 167848 5003 3 0.06 2.98 2 1 63 405 8.10
Puglia 264548 4821 12 0.25 1.82 45 1 286 554 11.49
Sicilia 305906 3681 36 0.99 1.20 46 6 631 284 7.72
Abruzzo 139426 3545 13 0.37 2.54 23 1 242 472 13.31
Friuli Venezia Giulia 279382 3484 8 0.23 1.25 3 3 183 348 9.99
P.A. Bolzano 119431 2784 3 0.11 2.33 7 1 123 292 10.49
Umbria 131894 1532 8 0.52 1.16 10 0 68 80 5.22
Sardegna 116750 1484 5 0.34 1.27 8 0 103 134 9.03
Calabria 132577 1335 19 1.44 1.01 7 1 133 97 7.27
Valle d’Aosta 23056 1217 0 0.00 5.28 3 0 13 146 12.00
Molise 29678 485 0 0.00 1.63 0 0 35 23 4.74
Basilicata 50626 482 4 0.84 0.95 0 0 64 28 5.81

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 61004 87 0.14 5718 3 0.05 9.37 7145.27 669.74 1 in 140
Ontario 42412 99 0.23 2835 1 0.04 6.68 2882.85 192.70 1 in 347
Alberta 12053 84 0.70 221 1 0.45 1.83 2731.16 50.08 1 in 366
British Columbia 4358 84 1.97 196 0 0.00 4.50 852.68 38.35 1 in 1173
Saskatchewan 1541 30 1.99 20 0 0.00 1.30 1304.09 16.93 1 in 767
Nova Scotia 1072 1 0.09 64 0 0.00 5.97 1096.72 65.48 1 in 912
Manitoba 643 40 6.63 8 0 0.00 1.24 466.78 5.81 1 in 2142
Newfoundland and Labrador 268 0 0.00 3 0 0.00 1.12 514.04 5.75 1 in 1945
New Brunswick 180 0 0.00 2 0 0.00 1.11 230.77 2.56 1 in 4333
Prince Edward Island 41 0 0.00 0 0 NaN 0.00 259.23 0.00 1 in 3858
Yukon 15 0 0.00 0 0 NaN 0.00 365.16 0.00 1 in 2739
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68139 4512 6.62
Hong Kong 4360 67 1.54
Guangdong 1709 8 0.47
Henan 1276 22 1.72
Zhejiang 1275 1 0.08
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 948 13 1.37
Beijing 935 9 0.96
Jiangxi 932 1 0.11
Xinjiang 898 3 0.33
Shandong 821 7 0.85
Shanghai 820 7 0.85
Jiangsu 661 0 0.00
Sichuan 623 3 0.48
Chongqing 583 6 1.03
Fujian 368 1 0.27
Hebei 351 6 1.71
Shaanxi 348 3 0.86
Liaoning 261 2 0.77
Inner Mongolia 260 1 0.38
Guangxi 255 2 0.78
Tianjin 205 3 1.46
Shanxi 201 0 0.00
Yunnan 191 2 1.05
Hainan 171 6 3.51
Gansu 169 2 1.18
Jilin 157 2 1.27
Guizhou 147 2 1.36
Ningxia 75 0 0.00
Macau 46 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 16237.94 514.81 1 in 62
Brazil 15415.40 504.01 1 in 65
India 1886.42 36.62 1 in 530
Russia 6302.96 107.04 1 in 159
South Africa 10210.51 203.74 1 in 98
Peru 16048.99 803.73 1 in 62
Mexico 3957.96 432.72 1 in 253
Colombia 9070.94 295.33 1 in 110
Chile 21169.58 572.85 1 in 47
Spain 7347.04 613.31 1 in 136
Iran 4174.78 238.18 1 in 240
United Kingdom 4750.47 704.26 1 in 211
Saudi Arabia 8983.06 101.34 1 in 111
Pakistan 1458.38 31.23 1 in 686
Argentina 6379.87 124.85 1 in 157
Bangladesh NA NA 1 in NA
Italy 4180.04 582.57 1 in 239
France 3726.75 453.95 1 in 268
Turkey 3054.83 73.43 1 in 327
Germany 2703.12 111.49 1 in 370

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 30 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 100 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
New York New York 229534 23615 10.29
Los Angeles California 218831 5215 2.38
Miami-Dade Florida 142662 1999 1.40
Maricopa Arizona 128352 2536 1.98
Cook Illinois 114724 4951 4.32
Harris Texas 90574 1771 1.96
Broward Florida 65369 914 1.40
Dallas Texas 57313 816 1.42
Clark Nevada 51457 884 1.72
Riverside California 45662 881 1.93
Suffolk New York 44045 1998 4.54
Nassau New York 43840 2195 5.01
Bexar Texas 43823 865 1.97
Orange California 42854 789 1.84
San Bernardino California 39374 561 1.42
Palm Beach Florida 38575 976 2.53
Westchester New York 36402 1447 3.98
San Diego California 34065 622 1.83
Hillsborough Florida 33694 458 1.36
Tarrant Texas 33403 492 1.47
Orange Florida 32861 335 1.02
Philadelphia Pennsylvania 32057 1715 5.35
Wayne Michigan 28877 2835 9.82
Middlesex Massachusetts 26565 2006 7.55
Kern California 25888 204 0.79
Prince George’s Maryland 24442 766 3.13
Duval Florida 24300 214 0.88
Shelby Tennessee 24251 321 1.32
Travis Texas 23870 332 1.39
Mecklenburg North Carolina 22850 253 1.11
Suffolk Massachusetts 22017 1076 4.89
Milwaukee Wisconsin 21879 462 2.11
Hidalgo Texas 21806 931 4.27
Fulton Georgia 21601 463 2.14
Davidson Tennessee 21528 221 1.03
Salt Lake Utah 21462 209 0.97
Gwinnett Georgia 21175 283 1.34
Bergen New Jersey 21058 2036 9.67
Hennepin Minnesota 20063 845 4.21
Essex New Jersey 19870 2110 10.62
Hudson New Jersey 19830 1508 7.60
Franklin Ohio 19287 533 2.76
Pima Arizona 19164 524 2.73
Fresno California 19157 203 1.06
Montgomery Maryland 18819 808 4.29
Pinellas Florida 18466 541 2.93
Fairfield Connecticut 18160 1410 7.76
Middlesex New Jersey 18045 1412 7.82
Essex Massachusetts 17930 1194 6.66
Passaic New Jersey 17858 1244 6.97
El Paso Texas 17632 354 2.01
Cameron Texas 17618 528 3.00
King Washington 17308 689 3.98
Lee Florida 17178 371 2.16
Union New Jersey 16827 1349 8.02
Fairfax Virginia 16816 531 3.16
Out of GA Georgia 16567 99 0.60
Nueces Texas 16527 277 1.68
Marion Indiana 16437 734 4.47
Oakland Michigan 16236 1136 7.00
St. Louis Missouri 16133 676 4.19
Jefferson Louisiana 15703 530 3.38
Providence Rhode Island 15644 0 0.00
Polk Florida 15108 353 2.34
DeKalb Georgia 14746 254 1.72
Cobb Georgia 14690 334 2.27
San Joaquin California 14651 261 1.78
Alameda California 14558 219 1.50
Cuyahoga Ohio 14120 523 3.70
Rockland New York 13981 674 4.82
Santa Clara California 13865 208 1.50
Baltimore Maryland 13699 574 4.19
Worcester Massachusetts 13686 1007 7.36
Jefferson Alabama 13682 262 1.91
Sacramento California 13615 199 1.46
New Haven Connecticut 13316 1109 8.33
Baltimore City Maryland 13210 438 3.32
Lake Illinois 13144 450 3.42
District of Columbia District of Columbia 13118 594 4.53
Hartford Connecticut 12871 1419 11.02
Charleston South Carolina 12726 210 1.65
East Baton Rouge Louisiana 12716 372 2.93
DuPage Illinois 12693 525 4.14
Wake North Carolina 12508 181 1.45
Tulare California 12105 205 1.69
Stanislaus California 11953 195 1.63
Douglas Nebraska 11929 143 1.20
Yuma Arizona 11766 292 2.48
Fort Bend Texas 11369 189 1.66
Oklahoma Oklahoma 11312 124 1.10
Orange New York 11217 491 4.38
Greenville South Carolina 11186 222 1.98
Tulsa Oklahoma 11130 113 1.02
Macomb Michigan 11084 950 8.57
Orleans Louisiana 10939 566 5.17
Mobile Alabama 10836 223 2.06
Polk Iowa 10800 210 1.94
Contra Costa California 10756 152 1.41
Collier Florida 10734 151 1.41
Ocean New Jersey 10708 1020 9.53

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below were the overall (not current) hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

Github Repo: CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc